کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
710746 892117 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predictive Modeling of Key Process Variables in Granulation Processes based on Dynamic Partial Least Squares
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Predictive Modeling of Key Process Variables in Granulation Processes based on Dynamic Partial Least Squares
چکیده انگلیسی

AbstractGranulation is a multivariable process characterized by several physical attributes that are essential for product performance, such as granule size and size distribution. An optimally operated granulation process will yield, in a reproducible manner, product with tightly controlled performance attributes. In this paper predictive models of the dynamics of these key variables are developed using a dynamic partial least squares approach. The method, demonstrated here on process simulation as well as on an industrial mixer-granulator process, result in accurate predictions. These models motivate the development of model predictive controllers for these processes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 42, Issue 11, 2009, Pages 411–416
نویسندگان
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